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Notion scales AI vector search 10x while cutting costs 90%

Notion has detailed its journey scaling its AI-powered vector search infrastructure over the past two years. Initially launched in November 2023, the feature experienced overwhelming demand, necessitating a 10x increase in capacity. The company implemented a dual-path ingestion pipeline using Apache Spark and Apache Kafka for both batch and real-time updates. By May 2024, Notion migrated to a serverless architecture, decoupling storage and compute, which resulted in a 90% cost reduction for its vector search operations. AI

IMPACT Demonstrates significant infrastructure scaling and cost-efficiency gains for AI features, potentially informing other companies building similar capabilities.

RANK_REASON The article details infrastructure improvements and cost optimizations for an existing AI feature, rather than a new release or significant industry shift.

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AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Notion scales AI vector search 10x while cutting costs 90%

COVERAGE [2]

  1. Lobsters — AI tag TIER_1 English(EN) · notion.com via JulianWgs ·

    Two years of vector search at Notion: 10x scale, 1/10th cost

    <p><a href="https://lobste.rs/s/1xbtlo/two_years_vector_search_at_notion_10x">Comments</a></p>

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Two years of vector search at Notion: 10x scale, 1/10th cost https://www.notion.com/blog/two-years-of-vector-search-at-notion # Tech # AI # Search

    Two years of vector search at Notion: 10x scale, 1/10th cost https://www.notion.com/blog/two-years-of-vector-search-at-notion # Tech # AI # Search